规范民用无人机的自主性:迈向光谱方法

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Samar Abbas Nawaz
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引用次数: 0

摘要

民用无人机在功能上越来越独立于人类的参与,这使它们走上了 "自主 "的道路。在定义 "自主性 "时,欧盟(EU)法规和其他司法管辖区采用了 "全有或全无 "的方法,即无人机要么能够完全自主运行,要么完全不能自主运行。这种二分法忽视了无人机不同程度的自主性,也未能捕捉到民用无人机操作的复杂性。在欧盟内部,这会产生监管方面的影响,如监管滞后、阻碍更好的安全监管,以及与欧盟对人工智能(AI)的监管方法不一致。本文认为,将自主性理解为一个光谱,而不是二分法,将更符合无人机的技术功能,并可避免当前二分法造成的潜在监管问题。在描述这种光谱方法时,本文(1)分析了无人机操作中自主性的表现形式,(2)描述了技术文献和无人机标准化在 "自主性 "概念化方面所做的努力,(3)探讨了在其他三种技术中为自主性下定义的尝试:自动驾驶汽车、自主武器系统和自主海船。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regulating Autonomy in Civilian Drones: Towards a Spectral Approach

Civilian drones are becoming more functionally independent from human involvement which sets them on a path towards “autonomous” status. When defining “autonomy,” the European Union (EU) regulations, among other jurisdictions, employ an all-or-nothing approach, according to which a drone is either able to operate fully autonomously or not at all. This dichotomous approach disregards the various levels of drone autonomy and fails to capture the complexity of civilian drone operation. Within the EU, this has regulatory implications, such as regulatory lag, hindrance in better safety regulation, and incoherence with the Union’s regulatory approach towards Artificial Intelligence (AI). This article argues that understanding autonomy as a spectrum, rather than in a dichotomous way, would be more coherent with the technical functioning of drone and would avoid potential regulatory problems caused by the current dichotomous approach. In delineating this spectral approach, this article (1) analyses manifestations of autonomy in drone operations, (2) delineates efforts in the technical literatures and drone standardization to conceptualize “autonomy”, and (3) explores definitional attempts for autonomy made in three other technologies: self-driving cars, autonomous weapon systems, and autonomous maritime ships.

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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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